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Red Hat/Fedora Leftovers

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Red Hat
  • Call an existing REST service with Apache Camel K

    With the release of Apache Camel K, it is possible to create and deploy integrations with existing applications that are quicker and more lightweight than ever. In many cases, calling an existing REST endpoint is the best way to connect a new system to an existing one. Take the example of a cafe serving coffee. What happens when the cafe wants to allow customers to use a delivery service like GrubHub? You would only need to introduce a single Camel K integration to connect the cafe and GrubHub systems.

    In this article, I will show you how to create a Camel K integration that calls an existing REST service and uses its existing data format. For the data format, I have a Maven project configured with Java objects. Ideally, you would have this packaged and available in a Nexus repository. For the purpose of my demonstration, I utilized JitPack, which lets me have my dependency available in a repository directly from my GitHub code. See the GitHub repository associated with this demo for the data format code and directions for getting it into JitPack.

  • Build a data streaming pipeline using Kafka Streams and Quarkus

    In typical data warehousing systems, data is first accumulated and then processed. But with the advent of new technologies, it is now possible to process data as and when it arrives. We call this real-time data processing. In real-time processing, data streams through pipelines; i.e., moving from one system to another. Data gets generated from static sources (like databases) or real-time systems (like transactional applications), and then gets filtered, transformed, and finally stored in a database or pushed to several other systems for further processing. The other systems can then follow the same cycle—i.e., filter, transform, store, or push to other systems.

    In this article, we will build a Quarkus application that streams and processes data in real-time using Kafka Streams. As we go through the example, you will learn how to apply Kafka concepts such as joins, windows, processors, state stores, punctuators, and interactive queries. By the end of the article, you will have the architecture for a realistic data streaming pipeline in Quarkus.

  • Fedora 32 : Can be better? part 012.

    Pidgin is a chat program which lets you log into accounts on multiple chat networks simultaneously. Pidgin can be install on multiple operating systems and platforms. Pidgin is compatible with the following chat networks out of the box: I.R.C., Jabber/XMPP, Bonjour, Gadu-Gadu, IRC, Novell GroupWise Messenger, Lotus Sametime, SILC, SIMPLE, and Zephyr. Can it be better? The only problems a user in need of help may have are in the command line environment. Obviously, in this case, this application cannot be used. I would suggest building a terminal application like WeeChat dedicated to Fedora users and including I.R.C channels. Now, let's install this application.

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